Ling 3.0
inclusionAI
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Papers
Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning
Team members 90 private
Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification
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inclusionAI/SingGuard-NSFA-0.8B
Image-Text-to-Text ⢠1B ⢠Updated ⢠1.79k ⢠7 -
inclusionAI/SingGuard-NSFA-2B
Image-Text-to-Text ⢠3B ⢠Updated ⢠199 ⢠2 -
inclusionAI/SingGuard-NSFA-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠249 ⢠3 -
inclusionAI/SingGuard-NSFA-9B
Image-Text-to-Text ⢠9B ⢠Updated ⢠250 ⢠5
Ling-2.6 series is designed for real-world agents that require fast responses, strong execution, and high token efficiency, with several sized SKUs.
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inclusionAI/Ring-1T
Text Generation ⢠1000B ⢠Updated ⢠278 ⢠⢠233 -
inclusionAI/Ring-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠163 ⢠102 -
inclusionAI/Ring-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠265 ⢠186 -
inclusionAI/Ring-mini-linear-2.0
Text Generation ⢠16B ⢠Updated ⢠3.89k ⢠89
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LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper ⢠2604.20796 ⢠Published ⢠243 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any ⢠16B ⢠Updated ⢠3.4k ⢠249 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any ⢠16B ⢠Updated ⢠2.15k ⢠5 -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper ⢠2512.15745 ⢠Published ⢠89
Ring is a reasoning MoE LLM provided and open-sourced by InclusionAI, derived from Ling.
The Agent Runtime for Self-Improvement
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UI-Venus-1.5 Technical Report
Paper ⢠2602.09082 ⢠Published ⢠157 -
inclusionAI/UI-Venus-1.5-30B-A3B
Image-Text-to-Text ⢠31B ⢠Updated ⢠1.77k ⢠35 -
inclusionAI/UI-Venus-1.5-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠8.88k ⢠29 -
inclusionAI/UI-Venus-1.5-2B
Image-Text-to-Text ⢠2B ⢠Updated ⢠1.54k ⢠42
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Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper ⢠2506.09344 ⢠Published ⢠31 -
inclusionAI/Ming-Lite-Omni
Any-to-Any ⢠19B ⢠Updated ⢠68 ⢠200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any ⢠19B ⢠Updated ⢠404 ⢠84 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any ⢠18B ⢠Updated ⢠60 ⢠80
Ring
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robbyant/lingbot-world-base-cam
Image-to-Video ⢠Updated ⢠341 -
robbyant/lingbot-world-base-act-preview
Image-to-Video ⢠Updated ⢠21 -
robbyant/lingbot-world-fast
Image-to-Video ⢠19B ⢠Updated ⢠26.7k ⢠22 -
robbyant/lingbot-world-fast-diffusers
Image-to-Video ⢠19B ⢠Updated ⢠2.45k ⢠7
The newest flagship non-reasoning model series.
Ming is the multi-modal series of any-to-any models developed by Ant Ling team.
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inclusionAI/Ming-flash-omni-2.0
Any-to-Any ⢠104B ⢠Updated ⢠2.24k ⢠272 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech ⢠18B ⢠Updated ⢠797 ⢠54 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech ⢠2B ⢠Updated ⢠8.47k ⢠38 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio ⢠0.8B ⢠Updated ⢠37 ⢠10
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Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper ⢠2602.11858 ⢠Published ⢠61 -
inclusionAI/ZwZ-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠248 ⢠32 -
inclusionAI/ZwZ-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠2.55k ⢠49 -
inclusionAI/ZwZ-RL-VQA
Viewer ⢠Updated ⢠111k ⢠3.1k ⢠17
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inclusionAI/Ling-1T
Text Generation ⢠1000B ⢠Updated ⢠2.11k ⢠⢠544 -
inclusionAI/Ling-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠2.9k ⢠218 -
inclusionAI/Ling-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠19.3k ⢠199 -
inclusionAI/Ling-mini-2.0-GGUF
16B ⢠Updated ⢠653 ⢠27
A collection of TwinFlow-accelerated diffusion models
GroveMoE is an open-source family of large language models developed by the AGI Center, Ant Research Institute.
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inclusionAI/Ling-lite-1.5-2507
Text Generation ⢠17B ⢠Updated ⢠78 ⢠77 -
inclusionAI/Ling-lite-1.5-2506
Text Generation ⢠17B ⢠Updated ⢠47 ⢠52 -
inclusionAI/Ling-lite-1.5
Text Generation ⢠17B ⢠Updated ⢠19.7k ⢠57 -
inclusionAI/Ling-lite-base-1.5
Text Generation ⢠17B ⢠Updated ⢠42 ⢠33
AReaL-boba-2
Ling 3.0
Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification
-
inclusionAI/SingGuard-NSFA-0.8B
Image-Text-to-Text ⢠1B ⢠Updated ⢠1.79k ⢠7 -
inclusionAI/SingGuard-NSFA-2B
Image-Text-to-Text ⢠3B ⢠Updated ⢠199 ⢠2 -
inclusionAI/SingGuard-NSFA-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠249 ⢠3 -
inclusionAI/SingGuard-NSFA-9B
Image-Text-to-Text ⢠9B ⢠Updated ⢠250 ⢠5
Ring
Ling-2.6 series is designed for real-world agents that require fast responses, strong execution, and high token efficiency, with several sized SKUs.
-
robbyant/lingbot-world-base-cam
Image-to-Video ⢠Updated ⢠341 -
robbyant/lingbot-world-base-act-preview
Image-to-Video ⢠Updated ⢠21 -
robbyant/lingbot-world-fast
Image-to-Video ⢠19B ⢠Updated ⢠26.7k ⢠22 -
robbyant/lingbot-world-fast-diffusers
Image-to-Video ⢠19B ⢠Updated ⢠2.45k ⢠7
The newest flagship non-reasoning model series.
Ming is the multi-modal series of any-to-any models developed by Ant Ling team.
-
inclusionAI/Ming-flash-omni-2.0
Any-to-Any ⢠104B ⢠Updated ⢠2.24k ⢠272 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech ⢠18B ⢠Updated ⢠797 ⢠54 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech ⢠2B ⢠Updated ⢠8.47k ⢠38 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio ⢠0.8B ⢠Updated ⢠37 ⢠10
-
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper ⢠2602.11858 ⢠Published ⢠61 -
inclusionAI/ZwZ-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠248 ⢠32 -
inclusionAI/ZwZ-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠2.55k ⢠49 -
inclusionAI/ZwZ-RL-VQA
Viewer ⢠Updated ⢠111k ⢠3.1k ⢠17
-
inclusionAI/Ring-1T
Text Generation ⢠1000B ⢠Updated ⢠278 ⢠⢠233 -
inclusionAI/Ring-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠163 ⢠102 -
inclusionAI/Ring-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠265 ⢠186 -
inclusionAI/Ring-mini-linear-2.0
Text Generation ⢠16B ⢠Updated ⢠3.89k ⢠89
-
inclusionAI/Ling-1T
Text Generation ⢠1000B ⢠Updated ⢠2.11k ⢠⢠544 -
inclusionAI/Ling-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠2.9k ⢠218 -
inclusionAI/Ling-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠19.3k ⢠199 -
inclusionAI/Ling-mini-2.0-GGUF
16B ⢠Updated ⢠653 ⢠27
-
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper ⢠2604.20796 ⢠Published ⢠243 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any ⢠16B ⢠Updated ⢠3.4k ⢠249 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any ⢠16B ⢠Updated ⢠2.15k ⢠5 -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper ⢠2512.15745 ⢠Published ⢠89
A collection of TwinFlow-accelerated diffusion models
Ring is a reasoning MoE LLM provided and open-sourced by InclusionAI, derived from Ling.
The Agent Runtime for Self-Improvement
GroveMoE is an open-source family of large language models developed by the AGI Center, Ant Research Institute.
-
UI-Venus-1.5 Technical Report
Paper ⢠2602.09082 ⢠Published ⢠157 -
inclusionAI/UI-Venus-1.5-30B-A3B
Image-Text-to-Text ⢠31B ⢠Updated ⢠1.77k ⢠35 -
inclusionAI/UI-Venus-1.5-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠8.88k ⢠29 -
inclusionAI/UI-Venus-1.5-2B
Image-Text-to-Text ⢠2B ⢠Updated ⢠1.54k ⢠42
-
inclusionAI/Ling-lite-1.5-2507
Text Generation ⢠17B ⢠Updated ⢠78 ⢠77 -
inclusionAI/Ling-lite-1.5-2506
Text Generation ⢠17B ⢠Updated ⢠47 ⢠52 -
inclusionAI/Ling-lite-1.5
Text Generation ⢠17B ⢠Updated ⢠19.7k ⢠57 -
inclusionAI/Ling-lite-base-1.5
Text Generation ⢠17B ⢠Updated ⢠42 ⢠33
AReaL-boba-2
-
Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper ⢠2506.09344 ⢠Published ⢠31 -
inclusionAI/Ming-Lite-Omni
Any-to-Any ⢠19B ⢠Updated ⢠68 ⢠200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any ⢠19B ⢠Updated ⢠404 ⢠84 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any ⢠18B ⢠Updated ⢠60 ⢠80